True versus apparent malaria infection prevalence: the contribution of a Bayesian approach.

True versus apparent malaria infection prevalence: the contribution of a Bayesian approach.

AIMS: To present a new approach for estimating the "true prevalence" of malaria and apply it to datasets from Peru, Vietnam, and Cambodia. METHODS: Bayesian models were developed for estimating both the malaria prevalence using different diagnostic tests (microscopy, PCR & ELISA), with...

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Bibliographic Details
Main Authors: Niko Speybroeck, Nicolas Praet, Filip Claes, Nguyen Van Hong, Kathy Torres, Sokny Mao, Peter Van den Eede, Ta Thi Thinh, Dioni Gamboa, Tho Sochantha, Ngo Duc Thang, Marc Coosemans, Philippe Büscher, Umberto D'Alessandro, Dirk Berkvens, Annette Erhart
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3041757?pdf=render

Internet

http://europepmc.org/articles/PMC3041757?pdf=render

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